Hydrogeology

Hydrogeological Assessment and Groundwater Modelling

Sefcom Environmental Consulting (SEC) delivers advanced hydrogeological services that support sustainable groundwater development, mine water management, regulatory compliance, and long-term environmental stewardship.

We combine field investigations, geophysical surveying, aquifer characterisation, and advanced numerical modelling with data-driven analytics to produce defensible, regulator-ready groundwater solutions for mining, infrastructure, industrial, and water supply projects.

Hydrogeological Services:

Groundwater Specialist Studies

Comprehensive groundwater assessments for water supply, mine dewatering, impact evaluation, and sustainable resource management.

Geophysical Investigations

Magnetic, electromagnetic (EM), and resistivity surveys to characterise subsurface conditions and support borehole siting and conceptual model development.

Borehole & Wellfield Development

• Borehole siting (water supply, dewatering, monitoring)
• Drilling programme oversight and borehole design
• Wellfield investigations and yield optimisation
• Aquifer testing and tracer studies

Groundwater Monitoring & Data Systems

• Design and implementation of water quality and quantity monitoring networks
• Groundwater database architecture and data management systems
• Compliance-aligned monitoring and reporting

Surface Water–Groundwater Interaction Studies

Integrated assessments to evaluate recharge, baseflow, hydraulic connectivity, and catchment-scale water balance implications.

Mine Water & Closure Hydrogeology

• Mine dewatering modelling and ingress prediction
• Seepage and containment modelling
• Groundwater liability and closure impact assessments
• Long-term post-closure water risk management

Groundwater Modelling & Digital Intelligence

• Conceptual hydrogeological model development
• Analytical and numerical 3D groundwater flow modelling
• Contaminant transport modelling
• 3D site conceptual visualisation and animations
• Scenario testing and predictive risk modelling